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Additionally, Azure Kubernetes Fleet Manager enables multi-cluster and at-scale scenarios for AKS clusters. Platform admins who are managing Kubernetes fleets with many clusters often face challenges staging their updates in a safe and predictable way. This allows admins to orchestrate updates across multiple clusters by using update runs, stages and groups. This is now generally available. Microsoft’s efforts to service the AI-based infrastructure layer include two new internally-made chips: Azure Maia 100 AI Accelerator and the Azure Cobalt 100 CPU. Chaos Studio offers customers the opportunity to intentionally disrupt their applications to uncover reliability issues and strategize for issue prevention before they impact users. For example, Chaos Studio enables users to assess how applications respond to real-world disruptions like network delays, unexpected storage failures, expired secrets or even complete datacenter outages. Templates in Chaos Studio allow customers, in a matter of minutes, to test the resilience of their Azure resources by providing a set of pre-filled experiments based on common outage scenarios. Dynamic targets functionality allows users to select experiment targets by using Keyword Query Language (KQL) queries, rather than static list selection, allowing more sophisticated fault injection scenarios to be created. Copilot for Azure : Introduced for Microsoft’s cloud customer productivity and available within Azure, Copilot for Azure is designed to assist with troubleshooting, problem identification, configuration suggestions, and more.
Extensibility support on Linux is now in preview. Previously available on Windows, it will allow Linux web apps to take advantage of third-party software services on Azure and connect to Azure Native ISV services more easily. Azure Container Apps is adding new features to make it easier to deploy code to the cloud and run AI workloads. Florence foundation model: Trained with billions of text-image pairs and integrated as cost-effective, production-ready computer vision services in Azure AI Vision, this improved feature enables developers to create cutting-edge, market-ready, responsible computer vision applications across various industries. Florence foundation model is generally available. Microsoft Azure Maia, an AI Accelerator chip designed to run cloud-based training and inferencing for AI workloads such as OpenAI models, Bing, GitHub Copilot and ChatGPT. Distributed Transaction Coordinator, which lets customers run transactions across multiple database types while keeping the databases in sync.Customers acquire the ability to boost their resilience against faults and failures by gaining a better understanding of application resiliency, conducting experiments with a wide variety of agent- and service-based faults and maintaining production quality through continuous validation. Engaged, empowered, employees are what will give organizations a competitive advantage in today's shifting macroeconomic environment – and allow them to emerge stronger. Microsoft 365 is the cloud-first platform that helps organizations enable a digitally connected, distributed workforce to work in new ways while simplifying IT and reducing cost.
Optional training, including free self-paced learning paths available on Microsoft Learn, with instructor-led training coming soon. Meanwhile, the Arm-based Azure Cobalt 100 CPU is designed for general-purpose computing workloads on the Microsoft Cloud. It is a 64-bit processor with 128 computing cores and is 40% more power efficient than existing Arm-based chips deployed in Azure. Both deliver a throughput of 12.5 gigabytes per second and will be available early in 2024. Enhanced performance and scalability for Azure Database for PostgreSQL. This update provides advanced storage and compute capabilities that enable optimal price-performance for enterprise production workloads. Features include: At this roundtable, we'll explore the use cases that require Microsoft Endpoint Manager customers to use the Microsoft Graph API. After identifying gaps, we'll discuss how we can improve the user experience of working with data within MEM. Our discussion will shape the product direction and help us understand what our customers want and need when working with data in-console, as well as through the API.
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Azure Ultra Disk Storage: The maximum provisioned input/output operations (IOPS) per second and provisioned throughput on Azure Ultra Disk Storage is increased to 400,000 IOPS and 10,000 MB/s per disk. A single Ultra Disk can achieve the maximum IOPS and throughput of the largest Azure virtual machines, reducing the complexity of managing multiple disks striped together. The increased performance can also be leveraged by multiple Azure Virtual Machines when the Ultra Disk is configured as a shared disk. This update is generally available. API Management’s Credential Manager, now generally available, simplifies the management of authentication and authorization for both professional developers and citizen developers.
Zone redundancy, which lets customers deploy their managed instance across multiple availability zones and improve the availability of their service. Azure Cosmos DB for MongoDB vCore, now generally available, allows developers to build intelligent applications in Azure with MongoDB compatibility. With Azure Cosmos DB for MongoDB vCore, developers can enjoy the benefits of native Azure integrations, low total cost of ownership and the familiar vCore architecture when migrating existing applications or building new ones. Azure Cosmos DB for MongoDB vCore is also introducing a free tier, which is a developer-friendly way to explore the platform’s capabilities without any cost. Learn more about the free tier. Windows AI Studio is for developers who want to create AI applications but aren’t keen on leveraging the cloud. This latest tool from Microsoft enables local development, though the obvious compute power constraints will only allow developers to tune and deploy small language models (SLMs).
And Azure AI Content Safety, now generally available, helps organizations detect and mitigate harmful content and create better online experiences. Customers can use Azure AI Content Safety as a built-in-safety system within Azure OpenAI Service, for open-source models as part of their prompt engineering in Azure Machine Learning or as a standalone API service. Improved price/performance and flexibility in the Business Critical service tier in Azure SQL Manage During the breakout sessions, there will be live Q&A sessions to ask questions on the Teams Meeting chat. Additionally, you can get your questions answered by attending the hybrid or in-person Ask the Experts sessions fielded by a diverse group of engineers, support, and other product experts.
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